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Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches

Demand forecasting is essential for decision-making, since these forecasts are important inputs for strategic management decisions. In this context, the contribution of this study is to propose a hybrid forecasting framework that combines machine …

Classification of Leukocytes: Comparison of different feature extraction and machine learning approaches

Blood cells can be separated into three types: erythrocytes, leukocytes and platelets, and to evaluate the health of a patient, a Complete Blood Count (CBC) is necessary. CBC is amongst the most performed tests worldwide, and when evaluated manually …

Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases

The coronavirus disease (COVID-19), according to the World Health Organization, by September 4th, 2020, has infected more than 26 million people, and more than 865 thousand have died from it in the worldwide. It is important to forecast the incidence …